Global state in GPUI provides app-wide shared data accessible from any context.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongpui-globalExecute the skills CLI command in your project's root directory to begin installation:
Fetches gpui-global from longbridge/gpui-component and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gpui-global. Access via /gpui-global in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Global state in GPUI provides app-wide shared data accessible from any context.
Key Trait: Global - Implement on types to make them globally accessible
use gpui::Global;
#[derive(Clone)]
struct AppSettings {
theme: Theme,
language: String,
}
impl Global for AppSettings {}
fn main() {
let app = Application::new();
app.run(|cx: &mut App| {
// Set global
cx.set_global(AppSettings {
theme: Theme::Dark,
language: "en".to_string(),
});
// Access global (read-only)
let settings = cx.global::<AppSettings>();
println!("Theme: {:?}", settings.theme);
});
}
impl MyComponent {
fn change_theme(&mut self, new_theme: Theme, cx: &mut Context<Self>) {
cx.update_global::<AppSettings, _>(|settings, cx| {
settings.theme = new_theme;
// Global updates don't trigger automatic notifications
// Manually notify components that care
});
cx.notify(); // Re-render this component
}
}
#[derive(Clone)]
struct AppConfig {
api_endpoint: String,
max_retries: u32,
timeout: Duration,
}
impl Global for AppConfig {}
// Set once at startup
cx.set_global(AppConfig {
api_endpoint: "https://api.example.com".to_string(),
max_retries: 3,
timeout: Duration::from_secs(30),
});
// Access anywhere
let config = cx.global::<AppConfig>();
#[derive(Clone)]
struct FeatureFlags {
enable_beta_features: bool,
enable_analytics: bool,
}
impl Global for FeatureFlags {}
impl MyComponent {
fn render_beta_feature(&self, cx: &App) -> Option<impl IntoElement> {
let flags = cx.global::<FeatureFlags>();
if flags.enable_beta_features {
Some(div().child("Beta feature"))
} else {
None
}
}
}
#[derive(Clone)]
struct ServiceRegistry {
http_client: Arc<HttpClient>,
logger: Arc<Logger>,
}
impl Global for ServiceRegistry {}
impl MyComponent {
fn fetch_data(&mut self, cx: &mut Context<Self>) {
let registry = cx.global::<ServiceRegistry>();
let client = registry.http_client.clone();
cx.spawn(async move |cx| {
let data = client.get("api/data").await?;
// Process data...
Ok::<_, anyhow::Error>(())
}).detach();
}
}
#[derive(Clone)]
struct GlobalState {
database: Arc<Database>, // Cheap to clone
cache: Arc<RwLock<Cache>>,
}
impl Global for GlobalState {}
Globals are read-only by default. Use interior mutability when needed:
#[derive(Clone)]
struct Counter {
count: Arc<AtomicUsize>,
}
impl Global for Counter {}
impl Counter {
fn increment(&self) {
self.count.fetch_add(1, Ordering::SeqCstImplementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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4.6★★★★★65 reviews- NNoor Okafor★★★★★Dec 24, 2024
Solid pick for teams standardizing on skills: gpui-global is focused, and the summary matches what you get after install.
- JJin Sanchez★★★★★Dec 20, 2024
Useful defaults in gpui-global — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAmelia Bansal★★★★★Dec 20, 2024
I recommend gpui-global for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- NNoah Bhatia★★★★★Dec 12, 2024
gpui-global is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- JJin Reddy★★★★★Dec 4, 2024
gpui-global reduced setup friction for our internal harness; good balance of opinion and flexibility.
- MMaya Huang★★★★★Nov 23, 2024
gpui-global has been reliable in day-to-day use. Documentation quality is above average for community skills.
- JJin Tandon★★★★★Nov 15, 2024
I recommend gpui-global for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- OOlivia Abbas★★★★★Nov 11, 2024
Solid pick for teams standardizing on skills: gpui-global is focused, and the summary matches what you get after install.
- LLucas Malhotra★★★★★Nov 7, 2024
Registry listing for gpui-global matched our evaluation — installs cleanly and behaves as described in the markdown.
- OOlivia Diallo★★★★★Nov 3, 2024
Keeps context tight: gpui-global is the kind of skill you can hand to a new teammate without a long onboarding doc.
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